Our premier client is a leading global smart energy solutions provider, with a mission to solve the world’s greatest challenges by orchestrating clean and sustainable energy generation for our growing world.

Location: Redwood City, California

Job Type: Full time salaried + benefits

Position Description: To meet global customer demand for our innovative software product line for solar asset management. The person hired for this position will assist the Solar Center of Excellence (SolarCOE) team in developing industry leading solar data analytics algorithms, prototyping them in computer code, validating behavior using measured system performance data, and assisting the integration of new algorithm codes into robust software libraries used in production-grade software as a service analytics platform.

You will construct and fit statistical, machine learning, or optimization models, detect and analyze changes using vast power generation time-series datasets. Your analysis will contribute to predictive and prescriptive failure analysis of solar power generation plants.

The position will require R&D-type investigative abilities, as well as an aptitude for translating new algorithmic concepts into commercially successful products.

Required Qualifications:

Master’s degree in Statistics, Mathematics, Computer Science, or other quantitative field

3-5 years of technical experience in distributed computing, machine learning, and statistics related work in a power-generation related field

5+ years work experience in the solar industry, ideally in solar software for performance engineering applications

Proficiency in Mandarin Chinese

Travel: Occasional travel is required, nominally 4-5 trips per year depending on company needs.

Well qualified scientific professionals please forward resume/CV along with compensation requirements and interview availability in complete confidence to The Pailin Group PSC to Marshall Lindstrum - Scientific Group Manager Mlindstrum@pailingroup.com